KTH Royal Institute of Technology is inviting applications for a Postdoctoral position in multi-omics machine learning and computational cancer biology. This role is based at SciLifeLab Stockholm within the School of Engineering Sciences in Chemistry, Biotechnology and Health. The researcher will join the Lundberg Lab to develop and apply computational approaches for cancer precision medicine, focusing on molecular mechanisms underlying cancer aggressiveness and treatment resistance.
Job Overview
| Designation | Postdoctoral Fellow |
| Research Area | Machine Learning, Multi-omics, and Computational Cancer Biology |
| Location | Stockholm, Sweden |
| Employment Type | Full-time, Temporary (up to two years) |
| Last Date for Apply | November 15, 2026 |
Job Description
The position is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). The successful candidate will integrate multiple data modalities, including biological, clinical, and medical imaging data, to develop interpretable and biologically meaningful models. Key research methods include:
- Machine and deep learning
- Image analysis and computational pathology
- Multi-omics integration
- Foundation models for biomedical applications
The role also provides opportunities for contributing to grant applications, research networks, education, and mentorship within an interdisciplinary environment.
Eligibility/Qualification
Mandatory Requirements
- A doctoral degree in computer science, machine learning, computational biology, bioinformatics, or a related field (must be completed by the time of the appointment decision).
- A strong research profile in machine learning or deep learning with a demonstrated interest in biomedical research.
- Proficiency in programming with Python and/or R.
- Solid knowledge of statistics, biostatistics, and multivariate data analysis.
- Excellent written and spoken English.
- Experience working with large-scale, high-dimensional biological datasets.
Preferred Qualifications
- A doctoral degree obtained within the last three years.
- Experience in developing interpretable or explainable machine learning models.
- Previous work in cancer genomics or precision medicine.
- Experience with Unix/Linux environments and high-performance computing systems.
How to Apply
Interested candidates must apply through the KTH recruitment system. The application should include the following documents:
- A comprehensive CV highlighting relevant professional experience.
- Copies of diplomas and grades from previous university studies (with English or Swedish translations if necessary).
- A brief description (max two pages) of research interests, why you want to work in the Lundberg Lab, and how your background aligns with the position.
Apply Link: Click here to submit your application
Last Date for Apply
The complete application must be received no later than November 15, 2026, at midnight CET/CEST.
